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-rw-r--r--numpy/core/_methods.py75
1 files changed, 75 insertions, 0 deletions
diff --git a/numpy/core/_methods.py b/numpy/core/_methods.py
index 3ab64f7a1..ba6f7d111 100644
--- a/numpy/core/_methods.py
+++ b/numpy/core/_methods.py
@@ -11,6 +11,7 @@ from numpy.core import multiarray as mu
from numpy.core import umath as um
from numpy.core._asarray import asanyarray
from numpy.core import numerictypes as nt
+from numpy.core import _exceptions
from numpy._globals import _NoValue
# save those O(100) nanoseconds!
@@ -55,6 +56,80 @@ def _count_reduce_items(arr, axis):
items *= arr.shape[ax]
return items
+# Numpy 1.17.0, 2019-02-24
+# Various clip behavior deprecations, marked with _clip_dep as a prefix.
+
+def _clip_dep_is_scalar_nan(a):
+ # guarded to protect circular imports
+ from numpy.core.fromnumeric import ndim
+ if ndim(a) != 0:
+ return False
+ try:
+ return um.isnan(a)
+ except TypeError:
+ return False
+
+def _clip_dep_is_byte_swapped(a):
+ if isinstance(a, mu.ndarray):
+ return not a.dtype.isnative
+ return False
+
+def _clip_dep_invoke_with_casting(ufunc, *args, out=None, casting=None, **kwargs):
+ # normal path
+ if casting is not None:
+ return ufunc(*args, out=out, casting=casting, **kwargs)
+
+ # try to deal with broken casting rules
+ try:
+ return ufunc(*args, out=out, **kwargs)
+ except _exceptions._UFuncOutputCastingError as e:
+ # Numpy 1.17.0, 2019-02-24
+ warnings.warn(
+ "Converting the output of clip from {!r} to {!r} is deprecated. "
+ "Pass `casting=\"unsafe\"` explicitly to silence this warning, or "
+ "correct the type of the variables.".format(e.from_, e.to),
+ DeprecationWarning,
+ stacklevel=2
+ )
+ return ufunc(*args, out=out, casting="unsafe", **kwargs)
+
+def _clip(a, min=None, max=None, out=None, *, casting=None, **kwargs):
+ if min is None and max is None:
+ raise ValueError("One of max or min must be given")
+
+ # Numpy 1.17.0, 2019-02-24
+ # This deprecation probably incurs a substantial slowdown for small arrays,
+ # it will be good to get rid of it.
+ if not _clip_dep_is_byte_swapped(a) and not _clip_dep_is_byte_swapped(out):
+ using_deprecated_nan = False
+ if _clip_dep_is_scalar_nan(min):
+ min = -float('inf')
+ using_deprecated_nan = True
+ if _clip_dep_is_scalar_nan(max):
+ max = float('inf')
+ using_deprecated_nan = True
+ if using_deprecated_nan:
+ warnings.warn(
+ "Passing `np.nan` to mean no clipping in np.clip has always "
+ "been unreliable, and is now deprecated. "
+ "In future, this will always return nan, like it already does "
+ "when min or max are arrays that contain nan. "
+ "To skip a bound, pass either None or an np.inf of an "
+ "appropriate sign.",
+ DeprecationWarning,
+ stacklevel=2
+ )
+
+ if min is None:
+ return _clip_dep_invoke_with_casting(
+ um.minimum, a, max, out=out, casting=casting, **kwargs)
+ elif max is None:
+ return _clip_dep_invoke_with_casting(
+ um.maximum, a, min, out=out, casting=casting, **kwargs)
+ else:
+ return _clip_dep_invoke_with_casting(
+ um.clip, a, min, max, out=out, casting=casting, **kwargs)
+
def _mean(a, axis=None, dtype=None, out=None, keepdims=False):
arr = asanyarray(a)